Edge AI Models Optimization Research Engineer

Huawei Italy Research Centers; Pisa; In loco; EUR 50.000 - 60.000; Tempo pieno

Vantaggi offerti da questo lavoro

Access to real-world datasets

Large-scale computing resources

International collaboration opportunities

Career development in impactful technologies

Descrizione del lavoro

Huawei Italy Research Centers in Pisa is seeking a highly motivated researcher to join their AI platform team. The successful candidate will contribute to developing next-generation models for intelligent vehicles, focusing on post-training techniques and efficient architectures.

The position offers a gross annual salary between €50,000 and €60,000, determined by experience and competencies, plus a potential discretionary annual bonus. Join a dynamic team to drive innovation in automotive computing technologies.

Competenze

• Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Strong understanding of transformer architectures, large language models, and modern deep learning techniques.
• Experience with PyTorch and distributed training frameworks.

Mansioni

• Investigate post-training approaches for language and multimodal models.
• Develop and evaluate model compression techniques for performance optimization.
• Benchmark open-source models and collaborate with platform teams.

Conoscenze

Understanding of transformer architectures

Experience with PyTorch

Knowledge of model optimization techniques

Familiarity with distributed training frameworks

Publications in top-tier conferences

Formazione

Master or PhD in Computer Science, AI, or related field

Descrizione del lavoro

Huawei Italy Research Centers in Pisa is seeking a highly motivated researcher to join their AI platform team. The successful candidate will contribute to developing next-generation models for intelligent vehicles, focusing on post-training techniques and efficient architectures.

The position offers a gross annual salary between €50,000 and €60,000, determined by experience and competencies, plus a potential discretionary annual bonus. Join a dynamic team to drive innovation in automotive computing technologies.